Distinction Between EMD & EEMD Algorithm for Pitch Detection in Speech Processing

Distinction Between EMD & EEMD Algorithm for Pitch Detection in Speech Processing

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-7 Number-3                          
Year of Publication : 2014
Authors : Bhawna Sharma , Sukhvinder Kaur
  10.14445/22315381/IJETT-V7P251

citation 

Bhawna Sharma , Sukhvinder Kaur.Article:Distinction Between EMD & EEMD Algorithm for Pitch Detection in Speech Processing.International Journal of Engineering Trends and Technology(IJETT), 7(3),119-125, published by seventh sense research group

Abstract

In this paper we describes the different algorithms for finding pitch markers in speech signal and it also explain how EEMD is better than EMD algorithm One of the major problem in EMD algorithm is mode mixing. EEMD algorithm helps in solving mode mixing problem. EEMD algorithm is a noise assisted data analysis (NADA) for extracting pitch information for the speech signal. In EEMD signal is decomposed into intermediate functions called IMF. Using these IMFs, information regarding pitch markers can be evaluated.

References

[1] Zhaohua Wu nd Norden E Huang , Empirical mode Decomposition : A noise Assisted data analysis method , Advances in adaptive data analysis Vol .1, No.1(2009) 1-41, c , World scientific publishing company.
[2]G.Schlotthauer,M.E Torres and H.L.Rufiner’’A new algorithm for instantaneous FO Speech extraction based on ensemble empirical mode decomposition”. Proc. Of the 17th European signal processing conference (EUSIPCO 2009), pp . 2347 – 2351, Aug. 2009
[3] D.G. Childers and C.K. Lee.” Voice quality factor analysis senthesis and perception”. J. Acoust.Soc. Amer, volume 90, pp. 2394-2410, 1991.
[4] Peyman Heydarian , Joshua D. Reiss , Extraction of long trerm structures in musical signals using the empirical mode decom,osition , Proc. Of the 8th Int. conference on digital audio effects (DAFX-05) , Madrid , Spain , September , 20-22, 2005
[5] Jau-Hung Chen and Yung – An Kao , pitch marking based on an adaptable filter and a peak valley estimation method , computational linguistics and Chinese language processing Vol.6, No.2, February 2001 , pp. 31-42 c computational linguistics society ofR.O.C
[6] M.Dziubinski and B.Kostek , High accuracy and Octave error immune pitch detection algoritm rchives of acoustics, 29,1-21(2004).
[7]Mei-Lin Su and Keh-Shih Chuang , An ECG signal enhancement based on improved EMD , PIERS proceedings, Taipei , March 25-28 , 2013.
[8]Thomas Ewender and Beat Pfister , accurate pitch marking for Prosodic modifications of speech segments , INTERSPEECH , 2010.
[9]http://www.worldscientific.com/doi/abs/10.1142/S1793536909000047?journalCode=aada

Keywords:
EMD, EEMD, IMF, NADA.